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dc.contributor.author
Luque, Luciana Melina
dc.contributor.author
Carlevaro, Carlos Manuel
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Llamoza Torres, Camilo Julio
dc.contributor.author
Lomba, Enrique
dc.date.available
2024-03-12T11:36:07Z
dc.date.issued
2023-03
dc.identifier.citation
Luque, Luciana Melina; Carlevaro, Carlos Manuel; Llamoza Torres, Camilo Julio; Lomba, Enrique; Physics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence; Public Library of Science; Plos Computational Biology; 19; 3; 3-2023; 1-28
dc.identifier.issn
1553-734X
dc.identifier.uri
http://hdl.handle.net/11336/230134
dc.description.abstract
We present a multiagent-based model that captures the interactions between different types of cells with their microenvironment, and enables the analysis of the emergent global behavior during tissue regeneration and tumor development. Using this model, we are able to reproduce the temporal dynamics of regular healthy cells and cancer cells, as well as the evolution of their three-dimensional spatial distributions. By tuning the system with the characteristics of the individual patients, our model reproduces a variety of spatial patterns of tissue regeneration and tumor growth, resembling those found in clinical imaging or biopsies. In order to calibrate and validate our model we study the process of liver regeneration after surgical hepatectomy in different degrees. In the clinical context, our model is able to predict the recurrence of a hepatocellular carcinoma after a 70% partial hepatectomy. The outcomes of our simulations are in agreement with experimental and clinical observations. By fitting the model parameters to specific patient factors, it might well become a useful platform for hypotheses testing in treatments protocols.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Public Library of Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
AGENT-BASED MODEL
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LIVER REGENERATION
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SIMULATION
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CANCER
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Otras Ciencias Físicas
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Ciencias Físicas
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CIENCIAS NATURALES Y EXACTAS
dc.title
Physics-based tissue simulator to model multicellular systems: A study of liver regeneration and hepatocellular carcinoma recurrence
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2024-03-11T11:45:05Z
dc.identifier.eissn
1553-7358
dc.journal.volume
19
dc.journal.number
3
dc.journal.pagination
1-28
dc.journal.pais
Estados Unidos
dc.journal.ciudad
San Francisco
dc.description.fil
Fil: Luque, Luciana Melina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
dc.description.fil
Fil: Carlevaro, Carlos Manuel. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
dc.description.fil
Fil: Llamoza Torres, Camilo Julio. Hospital Clínico Universitario Virgen de Arrixaca; España
dc.description.fil
Fil: Lomba, Enrique. Consejo Superior de Investigaciones Científicas. Instituto de Química Física; España
dc.journal.title
Plos Computational Biology
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://doi.org/10.1371/journal.pcbi.1010920
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1371/journal.pcbi.1010920
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